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朱彤, 李成毅, 江朝强, TH Lam, KK Cheng. 广州队列研究生物库中条形码技术应用与评价[J]. 中国公共卫生, 2006, 22(9): 1097-1098. DOI: 10.11847/zgggws2006-22-09-43
引用本文: 朱彤, 李成毅, 江朝强, TH Lam, KK Cheng. 广州队列研究生物库中条形码技术应用与评价[J]. 中国公共卫生, 2006, 22(9): 1097-1098. DOI: 10.11847/zgggws2006-22-09-43
ZHU Tong, LI Chengyi, JIANG Chaoqiang, . Application and assessment of bar code technology in Guangzhou-biobank in cohort study[J]. Chinese Journal of Public Health, 2006, 22(9): 1097-1098. DOI: 10.11847/zgggws2006-22-09-43
Citation: ZHU Tong, LI Chengyi, JIANG Chaoqiang, . Application and assessment of bar code technology in Guangzhou-biobank in cohort study[J]. Chinese Journal of Public Health, 2006, 22(9): 1097-1098. DOI: 10.11847/zgggws2006-22-09-43

广州队列研究生物库中条形码技术应用与评价

Application and assessment of bar code technology in Guangzhou-biobank in cohort study

  • 摘要:
      目的   建立大规模人群的分子流行病学队列研究生物库, 确保快速、准确地识别每一份生物样本, 并保持其活性, 以便长时间跟踪研究。
      方法   采用条形码识别技术对血液样品的采集、处理及存储、查询过程进行全程管理。
      结果   创建成功以条形码自动识别技术为核心的新型运作管理模式, 建立起10 000人份的生物样品库。大型生物样本库实施条形码管理系统可缩短每份样品的处理时间, 提高工作效率1.5倍。
      结论   条形码技术的应用可有效地避免样品间的相互混淆, 使实验室每一项工作准确、可靠、高效, 实现医学研究工作全面信息化, 提高基因队列研究的质量。

     

    Abstract:
      Objective   To establish a large biological sample bank from a great number of participants for genetic cohort study.An accurate quick identification must be ensured for each biological sample in the operation, which helped to make it viable for the long term follow-up in the biobank.
      Methods   The bar code-identifying technology was applied in the conduct of all procedures including sample collection, handling, storage and retrieval.
      Results   A new operating pattern using automatic bar-coding as the principal technology was developed.The biological sample bank including 10 thousand individuals was established.The implementation of the bar code-identifying information system in the huge biobank reduced the handling time for every sample and work efficiency was increased 1.5 times.
      Conclusion   Using bar code technology can efficiently avoid errors in distinguishing samples.The developed operating pattern worked accurately, dependably and efficiently in our laboratory.It helps us to achieve computerization completely in medical research and improve the quality of genetic cohort study.

     

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